TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
Paper
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2412.14642
•
Published
•
4
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YAML Metadata
Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
New Updates:
We fixed small bugs and upload new files in OpenMolIns on 3.18, 2025.
TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
Data Source: Data
Home Page: Home
Github Page: Github
PaperWithCode Page: PWC
Training:
Please see ./OpenMolIns/
We have 5 different variants, from light to xlarge.
Evaluation:
Please see ./benchmarks/, and combine the codes from our repository TOMG-Bench
citation
If this work is helpful, please kindly cite as:
@article{li2024tomg,
title={TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation},
author={Li, Jiatong and Li, Junxian and Liu, Yunqing and Zhou, Dongzhan and Li, Qing},
journal={arXiv preprint arXiv:2412.14642},
year={2024}
}
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